Considering Data Skew in Multiway Joins for MapReduce

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  • DOI 10.1109/chinagrid.2013.8
  • OpenAlex ID W2051869429
  • Type Conference-paper
  • Language EN
  • Published 01 Aug 2013
  • Pages 69–73
  • Source ChinaGrid Annual Conference
  • Countries 1
  • Institutions 1
  • Added 24 Jun 2016
  • Updated 05 Oct 2026
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Considering Data Skew in Multiway Joins for MapReduce

Conference-paper 2013 EN

Data analyzing and processing are important tasks in cloud computing. The MapReduce can provide a cost-effective, flexible, fault-tolerant and scalable distributed programming model over large clusters. However, how to implement join operation using MapReduce efficiently is an attractive point. Data skew problem has a strong impact on the performance of join operation. In this paper, we implement…

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4 authors
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1 Lei Wu University of Science and Tech… (CN)
2 Changchun Zhang University of Science and Tech… (CN)
3 Haiyan Meng University of Science and Tech… (CN) —
4 Jing Li University of Science and Tech… (CN)
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